Automated Cardiac Diagnosis Challenge (ACDC) [1]} is a cardiac MRI segmentation dataset. The dataset has 150 and 50 patient records for training and testing respectively. From the patient records, 2D slice images are extracted and cropped to 160\(\times \) 160. The extracted 2D slices amount to 1841 for training and 1076 for testing. The slices are normalized to the range (0-1). In the context of MRI reconstruction, the slice images are considered as FS images while the ZF images are obtained through cartesian undersampling masks corresponding to 2x, 4x and 8x accelerations.
